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» Phenomenal Data Mining: From Data to Phenomena
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KDD
2002
ACM
147views Data Mining» more  KDD 2002»
16 years 2 months ago
Sequential cost-sensitive decision making with reinforcement learning
Recently, there has been increasing interest in the issues of cost-sensitive learning and decision making in a variety of applications of data mining. A number of approaches have ...
Edwin P. D. Pednault, Naoki Abe, Bianca Zadrozny
ICDM
2006
IEEE
214views Data Mining» more  ICDM 2006»
15 years 7 months ago
Forecasting Skewed Biased Stochastic Ozone Days: Analyses and Solutions
Much work on skewed, stochastic, high dimensional, and biased datasets usually implicitly solve each problem separately. Recently however, we have been approached by Texas Commiss...
Kun Zhang, Wei Fan, Xiaojing Yuan, Ian Davidson, X...
ICDM
2006
IEEE
116views Data Mining» more  ICDM 2006»
15 years 7 months ago
Improving Personalization Solutions through Optimal Segmentation of Customer Bases
On the Web, where the search costs are low and the competition is just a mouse click away, it is crucial to segment the customers intelligently in order to offer more targeted and...
Tianyi Jiang, Alexander Tuzhilin
CINQ
2004
Springer
189views Database» more  CINQ 2004»
15 years 7 months ago
Employing Inductive Databases in Concrete Applications
In this paper we present the application of the inductive database approach to two practical analytical case studies: Web usage mining in Web logs and financial data. As far as co...
Rosa Meo, Pier Luca Lanzi, Maristella Matera, Dani...
KDD
2010
ACM
245views Data Mining» more  KDD 2010»
15 years 5 months ago
Flexible constrained spectral clustering
Constrained clustering has been well-studied for algorithms like K-means and hierarchical agglomerative clustering. However, how to encode constraints into spectral clustering rem...
Xiang Wang, Ian Davidson